A Thousand Brains Are Better Than One
If your AI strategy still relies on one big brain doing everything, you’ve already lost to the swarm.
AGI won’t emerge from bigger models, it could emerge from smarter architecture. Yusuf Sar makes a compelling case: true intelligence needs to be embodied, modular, and constantly learning.
Inspired by Jeff Hawkins’ Thousand Brains Theory, Sar proposes that AI systems must mimic cortical columns; each learning independently, but coordinated globally. Today’s AI is stuck in static, pre-trained loops.
Tomorrow’s AI must update in real-time, integrating motor, visual, and tactile inputs through shared reference frames. That means robotics isn’t optional, it’s foundational:
- AGI needs decentralized, modular learning
- Stable reference frames link inputs
- Robotics enables real-world cognition
The real risk isn’t that AGI arrives too fast, it’s that we fail to evolve our thinking before it does. As leaders, do we dare rethink AI not as a single supermind, but as a living system of synthetic minds, working together?
Read the full article on Forbes.
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